What AirCaps does
AirCaps is bringing AI assistance to in-person conversations. Our AI-copilot provides live captions, translations, AI meeting notes and insights for in-person conversations in real-time. It's deployed as an app for lightweight AR glasses so you can see visual information overlaid onto your field of vision. You can think of it like a Zoom AI meeting assistant or Granola, but for in-person conversations, and with the ability to proactively help you in real-time, not just after the conversation. We’re building the capture and intelligence layer for the 216 billion daily conversations that happen face-to-face. We’ve already processed 16,500 hours of real-world conversations and counting. Today, AirCaps assists with 11% of our users’ in-person conversations. We did $93K in revenue in October and grew 6.5x from September while spending <$3K on marketing (and hit $70K in revenue in the first 2 weeks of November). Our power users average 6h+ daily usage and our day-30 retention is 91%. We previously went viral (75M+ views on TikTok, 150K+ followers) and have been featured by The New Yorker, WIRED, and Forbes. Madhav (CEO, Yale CS) has been building in audio and AR since age 13, starting with Google Glass apps and voice assistants for Raspberry Pis. He researched audio AI at the MIT Media Lab. Nirbhay (CTO, Cornell CS) built voice AI on smart glasses in high school and built conversational AI products as the first engineer at 2 YC startups.
1 open role
What the role involves
We’re hiring the first product engineer for our AI smart glasses: AirCaps. You’ll own core apps and functionality end-to-end: building, testing, and shipping AI experiences for a consumer wearable. Your ideas and code will directly impact thousands of users across 40+ countries already using our product. What You’ll Do: Brainstorm, validate, and define new features using real customer data and interviews alongside the founders Define requirements and architect AI-powered wearable applications Build across Android XR (Kotlin/Java), iOS (Swift), and Android (Kotlin) Design and optimize agentic pipelines using streaming multimodal models (audio, vision, text) Push performance across latency, reliability, accuracy, power consumption—and even thermals when it matters Ship fast: test, QA, release → fix bugs as soon as things break → iterate on high-signal user feedback at lightning speed You Might Be a Fit If You: Thrive in 0→1 environments, from ideation through production and iteration Obsess over craft. The details matter to you across the whole stack, from data models to pixel-level UI details Ship work you're actually proud of and have a track record of doing so. Want to build products that impact thousands of real consumers. Are Claude Code native (or AI of your choice) Have grit: you're willing to chase hard optimization problems where every 100ms matters Are fascinated by how humans will interface with technology (bonus if you’ve imagined building a real-life JARVIS) Why Join AirCaps: Be early at a company defining the next computing platform See your work in the hands of users across the U.S., Europe, Korea, India, Japan, and 30+ other countries Work directly with the founders and shape product direction Today’s interfaces were built for the pre-AI era. That’s about to change—for the 4.7 billion people using smartphones today. The race is on to define the next interface. At AirCaps, we're betting everything on voice-first software and hardware. If we're right, we'll own the gateway to the next computing platform.
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Company facts compiled from public sources and last refreshed 9 September 2026. Details change; treat the company’s own site as the authority.